Invention Grant
- Patent Title: Process for the manufacture of a recurrent neural network calculator
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Application No.: US16430464Application Date: 2019-06-04
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Publication No.: US10741757B2Publication Date: 2020-08-11
- Inventor: Elisa Vianello , Selina La Barbera , Jean-Francois Nodin , Raluca Tiron
- Applicant: Commissariat A L'Energie Atomique et aux Energies Alternatives
- Applicant Address: FR Paris
- Assignee: Commissariat A L'Energie Atomique et aux Energies Alternatives
- Current Assignee: Commissariat A L'Energie Atomique et aux Energies Alternatives
- Current Assignee Address: FR Paris
- Agency: Oblon, McClelland, Maier & Neustadt, L.L.P.
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@1dd91cee
- Main IPC: H01L45/00
- IPC: H01L45/00 ; H01L27/24

Abstract:
The disclosed process includes the successive stages of providing a substrate comprising a dielectric layer; forming a first layer of block copolymers on a part of the dielectric layer, so that the dielectric layer exhibits free zones with a random spatial distribution; etching the free zones, so as to structure the dielectric layer; removing the first layer of block copolymers; forming a first electrode on the structured dielectric layer; forming a memory layer, of resistive memory type, on the first electrode; forming a second electrode on the memory layer; forming a second layer of block copolymers on a part of the second electrode, so that the second electrode exhibits free zones with a random spatial distribution; etching the free zones, so as to structure the second electrode; and removing the second layer of block copolymers.
Public/Granted literature
- US20190393412A1 Process for the manufacture of a recurrent neural network calculator Public/Granted day:2019-12-26
Information query
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